OEMMN OEMMN
Geekbench ML Score
1903
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | April 17 2024 07:45 AM |
| Views | 812 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | OEMMN OEMMN |
| Motherboard | OEMMN OEMMN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon X Plus - X1P64100 - Qualcomm Oryon CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1017
190.3 IPS |
|
|
Image Classification (F16)
|
100% |
982
183.7 IPS |
|
|
Image Classification (I8)
|
100% |
867
162.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1500
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1440
24.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1262
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8078
9.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
8105
9.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
7450
9.02 IPS |
|
|
Object Detection (F32)
|
100% |
775
57.8 IPS |
|
|
Object Detection (F16)
|
100% |
1059
79.0 IPS |
|
|
Object Detection (I8)
|
71% |
704
52.6 IPS |
|
|
Face Detection (F32)
|
100% |
1994
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (I8)
|
93% |
1765
21.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4891
37.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4786
37.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4077
31.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12558
16.5 IPS |
|
|
Style Transfer (F16)
|
100% |
12193
16.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11080
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4531
161.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4521
161.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3228
115.3 IPS |
|
|
Text Classification (F32)
|
100% |
224
321.3 IPS |
|
|
Text Classification (F16)
|
100% |
262
376.1 IPS |
|
|
Text Classification (I8)
|
98% |
215
308.9 IPS |
|
|
Machine Translation (F32)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
841
15.5 IPS |
|
|
Machine Translation (I8)
|
65% |
554
10.2 IPS |
